1 citations · 1 across the 6 of their papers we have counts for
6 papers
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu, Haizhou Shi, Zhenshuo Zhang +1
In this work, we investigate the problem of out-of-distribution (OOD) generalization for unsupervised learning methods on graph data. This scenario is particularly challenging beca…
Analysis and tuning of a three-term DMC
Yun Zhu, Kangkang Zhang, Yuncai Zhu +1
Most MPC (Model Predictive Control) algorithms used in industries and studied in the control academia use a two-term QP (quadratic programming), where the first term is the weighte…
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Zhenshuo Zhang, Yun Zhu, Haizhou Shi +1
Albeit having gained significant progress lately, large-scale graph representation learning remains expensive to train and deploy for two main reasons: (i) the repetitive computati…
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference
Boren Hu, Yun Zhu, Jiacheng Li +1
Dynamic early exiting has been proven to improve the inference speed of the pre-trained language model like BERT. However, all samples must go through all consecutive layers before…
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers
Fangqi Li, Shilin Wang, Yun Zhu
Backdoor-based watermarking schemes were proposed to protect the intellectual property of artificial intelligence models, especially deep neural networks, under the black-box setti…
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment
Fang-Qi Li, Shi-Lin Wang, Yun Zhu
The wide application of deep learning techniques is boosting the regulation of deep learning models, especially deep neural networks (DNN), as commercial products. A necessary prer…